Goal To increase knowledge about the use data to influence instruction. To form a consistent vocabulary for the use of data.
Goal To build a common practice for analyzing data through organization, management and use.
Data Driven Dialogue or Protocol
The protocol below leads a team to begin by thinking of questions about student achievement. Participants begin with the statements: I assume…., I predict …., I wonder …., There is also a very good article from ASCD, “Answering Questions That Count” December 2008/January 2009, pages 18-24.
Purpose of SpreadsheetThis spreadsheet is designed to compile data from a variety of student assessments and present the data in chart and graph form. Up to 10 different assessments can be analyzed. Analyzing this data will help determine strengths or weakness of students’ performance on these assessments. Data on identified subgroups of students can also be disaggregated. Up to four levels that can be created and named. Students will be placed into one of the levels by their assessment score. Total number and percent of students and at each level is calculated.
The front page is used to record scores from up to 10 test, cut scores, and standard demographics plus 2 extra columns.
Extra columns can be used to identify groups such as students new to the district, students opting in, students absent more than 8 days, students involved in extra curricular activities, taking specific courses or 3 years of math, coming from different schools in district or different teachers, reading below grade level, received a specific intervention, number of days absent.
One very nice feature is that because of new format that I learned the size of spreadsheet is very small and will easily be able to be emailed.
One nice addition is what is called "color coding". After the scores and cut scores are entered the students on the color coding sheet are filled in by the level of the assessment. This quickly allows the teacher to determine how the student is doing on assessments.
Two sets of graphs are completed.
Demographic by test shows a graph of how each subgroup preform on each assessment.
Trend by demographic can be used to show trend data or shows each demographic area did on all assessments.
Data Analyzer Ideas
Set up a Data Analyzer to look at several different data sources for a grade or school. For example look at NeSA-R, NeSA-M, sub scores, NRT, Dibbels,
Set up a Data Analyzer to look at program data. Take one or two main sources, NeSA-M, NeSA-M, and begin to look at trend data for that grade level.
Set up a Data Analyzer to look at cohort data. Take one or two main sources, NeSA-M, NeSA-M, and begin to look at trend data for that group of students.
Teacher may like to use Data Analyzer to look at just their students to see how they are doing.
Data Analyzer Documents
Data Analyzer 2 inst.docx This document provides an overview of Data Analyzer as well as instructions on how to get started.
Goal
To increase knowledge about the use data to influence instruction.
To form a consistent vocabulary for the use of data.
Goal
To build a common practice for analyzing data through organization, management and use.
Data Driven Dialogue or Protocol
The protocol below leads a team to begin by thinking of questions about student achievement. Participants begin with the statements: I assume…., I predict …., I wonder …., There is also a very good article from ASCD, “Answering Questions That Count” December 2008/January 2009, pages 18-24.
ASCD article http://www.ascd.org/publications/educational_leadership/dec08/vol66/num04/Answering_the_Questions_That_Count.aspx
Answering the Questions That Count.pdf Summary of main points from article.
Data Driven Protocol from National School Reform Faculty
http://www.nsrfharmony.org/protocol/reflective_dialogue.html select "Data Driven Protocol"
Or go to http://www.nsrfharmony.org/protocol/learning_texts.html and search for data.
Data Analyzer Spreadsheet
Purpose of Spreadsheet This spreadsheet is designed to compile data from a variety of student assessments and present the data in chart and graph form. Up to 10 different assessments can be analyzed. Analyzing this data will help determine strengths or weakness of students’ performance on these assessments. Data on identified subgroups of students can also be disaggregated. Up to four levels that can be created and named. Students will be placed into one of the levels by their assessment score. Total number and percent of students and at each level is calculated.
Data Analyzer Ideas
Data Analyzer Documents
Data Analyzer 2 inst.docx This document provides an overview of Data Analyzer as well as instructions on how to get started.Data Analyzer 2.3.xlsx
Data Analyzer 2.3 Excel 2004.xls Excel 2004 may not have all of the highlighting features
Data Analyzer 2.1 test color code.pdf Sample pdf to show the color coding
Data Analyzer 2.1 test demo by test.pdf sample charts and graphs for demographic by test
Data Analyzer 2.1 test trend by demo.pdf Sample charts and graphs for test trends by demographics.
Lenny's Wiki
Links and information about using NWEA
NWEA Normative Data
A web site for the Nebraska Regional MAP meetings http://mapregionmtg.wikispaces.com/
Tori Lienemann, Norris MAP coordinator has several good links on her web site. http://www.norris160.org/resource/lienemannt/
Here is the web site for goal setting sheets http://www.powayusd.com/projects/edtechcentral/MAPS/ES101Pages/StudentGoalSetting.ht
Description of the RIT scale http://www.nwea.org/support/article/532/rit-scale
Here is a link to our web page that discusses “negative growth” http://www.nwea.org/support/article/554
ESU #1 has developed some short videos( 5 minutes) on goal setting, RIT score, and finding reports http://www.esu1.org/virtualtraininglibrary.html
Resources for Math by RIT range: http://www.sowashco.k12.mn.us/ro/pages/studentlinks/map/
Resources for Reading by RIT range: http://www.sowashco.k12.mn.us/ro/pages/studentlinks/map/reading.htm
School site with MAP resources http://www.powayusd.com/projects/edtechcentral/MAPS/
http://www.foridahoteachers.org/ has some amazing MAP resources. Use the DesCartes and Curriculum Ladders links and explore.
Here is a link to a school in Arizona that is really tackling data-instructional practice in a great way: http://cross-data-project.wikispaces.com/NWEA+Members%27+Seminar+2008
This site is shared by Ann Thober from Norris and has some nice examples of documents to use with students.
http://www.powayusd.com/projects/edtechcentral/MAPS/ES101Pages/StudentGoalSetting.htm